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Technol."],"published-print":{"date-parts":[[2012,9]]},"abstract":"<jats:p>\n            We present a novel ensemble architecture for learning problem-solving techniques from a very small number of expert solutions and demonstrate its effectiveness in a complex real-world domain. The key feature of our \u201cGeneralized Integrated Learning Architecture\u201d (GILA) is a set of heterogeneous independent learning and reasoning (ILR) components, coordinated by a central meta-reasoning executive (MRE). The ILRs are\n            <jats:italic>weakly coupled<\/jats:italic>\n            in the sense that all coordination during learning and performance happens through the MRE. Each ILR learns independently from a small number of expert demonstrations of a complex task. During performance, each ILR proposes partial solutions to subproblems posed by the MRE, which are then selected from and pieced together by the MRE to produce a complete solution. The heterogeneity of the learner-reasoners allows both learning and problem solving to be more effective because their abilities and biases are complementary and synergistic. We describe the application of this novel learning and problem solving architecture to the domain of airspace management, where multiple requests for the use of airspaces need to be deconflicted, reconciled, and managed automatically. Formal evaluations show that our system performs as well as or better than humans after learning from the same training data. Furthermore, GILA outperforms any individual ILR run in isolation, thus demonstrating the power of the ensemble architecture for learning and problem solving.\n          <\/jats:p>","DOI":"10.1145\/2337542.2337560","type":"journal-article","created":{"date-parts":[[2012,10,12]],"date-time":"2012-10-12T20:56:02Z","timestamp":1350075362000},"page":"1-38","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":9,"title":["An Ensemble Architecture for Learning Complex Problem-Solving Techniques from Demonstration"],"prefix":"10.1145","volume":"3","author":[{"given":"Xiaoqin Shelley","family":"Zhang","sequence":"first","affiliation":[{"name":"University of Massachusetts at Dartmouth"}]},{"given":"Bhavesh","family":"Shrestha","sequence":"additional","affiliation":[{"name":"University of Massachusetts at Dartmouth"}]},{"given":"Sungwook","family":"Yoon","sequence":"additional","affiliation":[{"name":"Arizona State 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International Foundation for Autonomous Agents and Multiagent Systems, Richland, SC, 393--400. Mailler, R., Bryce, D., Shen, J., and O\u2019Reilly, C. 2009. Mable: A framework for learning from natural instruction. In Proceedings of the 8th International Conference on Autonomous Agents and Multiagent Systems - Volume 1 (AAMAS\u201909). International Foundation for Autonomous Agents and Multiagent Systems, Richland, SC, 393--400."},{"volume-title":"Proceedings of the 7th International Conference on Principles of Knowledge Representation and Reasoning.","author":"Martin M.","key":"e_1_2_1_27_1","unstructured":"Martin , M. and Geffner , H . 2000. Learning generalized policies in planning domains using concept languages . In Proceedings of the 7th International Conference on Principles of Knowledge Representation and Reasoning. Martin, M. and Geffner, H. 2000. Learning generalized policies in planning domains using concept languages. In Proceedings of the 7th International Conference on Principles of Knowledge Representation and Reasoning."},{"key":"e_1_2_1_28_1","doi-asserted-by":"publisher","DOI":"10.1145\/151261.151264"},{"key":"e_1_2_1_29_1","volume-title":"Proceedings of the IJCAI 2009 Workshop on Explanation Aware Computing (ExaCt).","author":"Michaelis J. R.","year":"2009","unstructured":"Michaelis , J. R. , Ding , L. , and McGuinness , D. L. 2009 . Towards the explanation of workflows . In Proceedings of the IJCAI 2009 Workshop on Explanation Aware Computing (ExaCt). Michaelis, J. R., Ding, L., and McGuinness, D. L. 2009. Towards the explanation of workflows. In Proceedings of the IJCAI 2009 Workshop on Explanation Aware Computing (ExaCt)."},{"volume-title":"Proceedings of the International Joint Conference on Artificial Intelligence (IJCAI). 228--235","author":"Minton S.","key":"e_1_2_1_30_1","unstructured":"Minton , S. and Carbonell , J . 1987. Strategies for learning search control rules: An explanation-based approach . In Proceedings of the International Joint Conference on Artificial Intelligence (IJCAI). 228--235 . Minton, S. and Carbonell, J. 1987. Strategies for learning search control rules: An explanation-based approach. In Proceedings of the International Joint Conference on Artificial Intelligence (IJCAI). 228--235."},{"key":"e_1_2_1_31_1","doi-asserted-by":"crossref","unstructured":"Mu\u00f1oz-Avila H. and Cox M. 2007. Case-based plan adaptation: An analysis and review. IEEE Intelligent Systems. Mu\u00f1oz-Avila H. and Cox M. 2007. Case-based plan adaptation: An analysis and review. IEEE Intelligent Systems .","DOI":"10.1109\/MIS.2008.59"},{"key":"e_1_2_1_32_1","doi-asserted-by":"publisher","DOI":"10.1145\/1329125.1329318"},{"volume-title":"Proceedings of the 21st National Conference on Artificial Intelligence (AAAI). 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In Proceedings of the Advances in Neural Information Processing Systems (NIPS). 1040--1046 . Schaal, S. 1996. Learning from demonstration. In Proceedings of the Advances in Neural Information Processing Systems (NIPS). 1040--1046."},{"key":"e_1_2_1_40_1","doi-asserted-by":"publisher","DOI":"10.1023\/A:1008942012299"},{"key":"e_1_2_1_41_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-540-74958-5_42"},{"volume-title":"2000. Multiagent Systems: A Modern Approach to Distributed Artificial Intelligence","author":"Weiss G.","key":"e_1_2_1_42_1","unstructured":"Weiss , G. , Ed. 2000. Multiagent Systems: A Modern Approach to Distributed Artificial Intelligence . MIT Press . Weiss, G., Ed. 2000. Multiagent Systems: A Modern Approach to Distributed Artificial Intelligence. 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Zhang, X., Yoon, S., DiBona, P., Appling, D., Ding, L., Doppa, J., Green, D., Guo, J., Kuter, U., Levine, G., MacTavish, R., McFarlane, D., Michaelis, J., Mostafa, H., Onta\u00f1\u00f3n, S., Parker, C., Radhakrishnan, J., Rebguns, A., Shrestha, B., Song, Z., Trewhitt, E., Zafar, H., Zhang, C., Corkill, D., DeJong, G., Dietterich, T., Kambhampati, S., Lesser, V., and et al. 2009. An ensemble learning and problem-solving architecture for airspace management. 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